Fuzzy Multilevel Image Thresholding Based on Modified Quick Artificial Bee Colony Algorithm and Local Information Aggregation

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/5985616/figures/5985616.fig.005a.svgz" name="5985616.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Baboon with 5 th</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/5985616/figures/5985616.fig.005b.svgz" name="5985616.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Lena with 5 th</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/mpe/volume-2016/5985616/figures/5985616.fig.005c.svgz" name="5985616.fig.005c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Starfish with 5 th</td></tr></table>

<div>The comparison of convergence (a)–(c) with 5 thresholds, respectively.</div>

Mathematical Problems in Engineering

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Figure 5

Figure 5: Fuzzy Multilevel Image Thresholding Based on Modified Quick Artificial Bee Colony Algorithm and Local Information Aggregation 